Relating the Morphology of Bipolar Neurons to Fractal Dimension

By analyzing reconstructed three-dimensional images of retinal bipolar neurons, we show that their dendritic arbors weave through space in a manner that generates fractal-like behavior quantified by an ‘effective’ fractal dimension. Examining this fractal weave along with traditional morphological parameters reveals a dependence of arbor fractal dimension on the summation of the lengths of the arbor’s dendrites. We discuss the implications of this behavior for healthy neurons and also for the morphological deterioration of unhealthy neurons in response to diseases.

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Publication Details

Journal
Fractal and Fractional
Published
2024-12-28
DOI
https://doi.org/10.3390/fractalfract9010009
Citations
1
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.66
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article

Relating the Morphology of Bipolar Neurons to Fractal Dimension

R. P. Taylor, Conor Rowland, Bret Brouse
1 citations
Fractal and Fractional
Cell Image Analysis Techniques
0.66
article

Relating the Morphology of Bipolar Neurons to Fractal Dimension

R. P. Taylor, Conor Rowland, Bret Brouse
article en
1 citations

Abstract

By analyzing reconstructed three-dimensional images of retinal bipolar neurons, we show that their dendritic arbors weave through space in a manner that generates fractal-like behavior quantified by an ‘effective’ fractal dimension. Examining this fractal weave along with traditional morphological parameters reveals a dependence of arbor fractal dimension on the summation of the lengths of the arbor’s dendrites. We discuss the implications of this behavior for healthy neurons and also for the morphological deterioration of unhealthy neurons in response to diseases.

Fractal and FractionalVol. 9(1)
University of Oregon (US)
Openalex Percentile: Top 18%
Cell Image Analysis Techniques
0.66
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Relating the Morphology of Bipolar Neurons to Fractal Dimension — R. P. Taylor, Conor Rowland, et al. · Fractal and Fractional (2024) | TGRS Research Map | TGRS